How to use StarryXCN/bert-chinese-lora-sentiment with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("/home/starryx/llm_lib/model--google-bert--bert-base-chinese") model = PeftModel.from_pretrained(base_model, "StarryXCN/bert-chinese-lora-sentiment")
How to use StarryXCN/bert-chinese-lora-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StarryXCN/bert-chinese-lora-sentiment")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StarryXCN/bert-chinese-lora-sentiment", dtype="auto")
基于 bert-base-chinese + LoRA 训练的二分类情感分析模型（好评->1/差评->0）
from peft import PeftModel model = PeftModel.from_pretrained(base_model, "StarryXCN/bert-chinese-lora-sentiment")
Base model
